Zero-Shot Hyperspectral Image Denoising Using Self-Completion With 3D Random Patterned Masks
Hyperspectral images (HSIs) have higher spectral resolution than RGB images and are used in various tasks. However, HSIs are prone to degradation due to noise generated during imaging, making it difficult to obtain non-degraded images. Additionally, supervised learning, which relies on pairs of degr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10192384/ |